Digital twin for railway: a comprehensive survey

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DOI	Trouver le DOI : https://doi.org/10.1109/ACCESS.2023.3327042
Auteur	Rechercher : Ghaboura, Sara Identifiant ORCID : https://orcid.org/0009-0000-4906-429X; Rechercher : Ferdousi, Rahatara Identifiant ORCID : https://orcid.org/0000-0003-1143-2370; Rechercher : Laamarti, Fedwa; Rechercher : Yang, Chunsheng¹Identifiant ORCID : https://orcid.org/0000-0003-3043-5622; Rechercher : Saddik, Abdulmotaleb El Identifiant ORCID : https://orcid.org/0000-0002-7690-8547
Affiliation	Conseil national de recherches Canada. Technologies numériques
Format	Texte, Article
Sujet	digital twin; railway; modelling; structural health monitoring; artificial intelligence; safety; rail transportation; surveys; monitoring; Internet of Things; tag clouds; context modeling
Résumé	Digital transformation has been prioritized in the railway industry to bring automation to railway operations. Digital Twin (DT) technology has recently gained attention in the railway industry to fulfill this goal. Contemporary researchers argue that DT can be advantageous in Railway manufacturing logistics to planning and scheduling. Although underlying technologies of DT, e.g., modelling, computer vision, and the Internet of Things, have been studied for various railway industry applications, the DT has been least explored in the context of railways. Thus, in this paper, we aim to understand the state-of-the-art of DT for railway (DTR), for advanced railway systems. Besides, this survey clarifies how DT can serve the railway twin system designers and developers. As DTR is still in its early adoption stage, there is hardly any clear direction to identify the technologies for specific DTR applications. Therefore, based on our findings we present a taxonomy for DTR for designers and developers. Finally, we describe potential challenges, pitfalls, and opportunities in DTR for future researchers.
Date de publication	2023-10-23
Maison d’édition	IEEE
Licence	Creative Commons, Attribution - Pas d’Utilisation Commerciale - Pas de Modification 4.0 International (CC BY-NC-ND 4.0) https://creativecommons.org/licenses/by-nc-nd/4.0/deed.fr
Dans	IEEE Access 11 (23 octobre 2023) : 120237–120257.
Langue	anglais
Publications évaluées par des pairs	Oui
Exporter la notice	Exporter en format RIS
Signaler une correction	Signaler une correction (s'ouvre dans un nouvel onglet)
Identificateur de l’enregistrement	59e760f5-1283-4c42-bff8-9795d5d38fe0
Enregistrement créé	2024-03-26
Enregistrement modifié	2024-03-26

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